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[DEV] TVM v0.6 Roadmap #2623

@ZihengJiang

Description

@ZihengJiang

This roadmap for TVM v0.6. TVM is a community-driven project and we love your feedback and proposals on where we should be heading. Please open up discussion in the discussion forum as well as bring RFCs.

  • Feel free to volunteer yourself if you are interested in trying out some items(they do not have to be on the list).
  • Please also check out the help wanted list in the github issues on things that need help

Features

  • Quantization
    • Support for configuring mix-precision
    • Per-Channel scale
    • Graph packing
    • Smarter calibration algorithm
    • Model coverage
    • Support importing quantization model from other frameworks
  • Relay
    • Algebra Data Type
    • Runtime support for dynamic models
    • Support Any syntax
    • Pass Manager
    • Official text format support
  • Automated tuning and scheduling
    • graph level automated optimization
  • Ultra low-bit support
    • tutorials of low-bit ops
    • customized accelerator support
  • VTA enhancements
    • support generic high level models
    • Enhanced operator/model coverage
    • Ultra-96, ZCU102 support
    • Amazon F1 preliminary support
    • Low-bit support, bit serial support
    • Chisel version
  • Micro-asm kernel exploration
    • Core micro-asm primitives for certain ops
  • Hybrid python programming model
    • transition of vision operators to hybrid mode.
  • RPC and Device API
    • Support a c++ version of cross platform RPC
  • Training
    • First-order auto differentiation
    • Gradient operators
    • High-order auto differentiation
  • Arithmetics
    • Formalize Integer Arithmetic Analysis
  • Tutorials
    • Tutorials of low-bit ops using Relay

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